Learning to grow machine-learning models
New LiGO technique accelerates training of large machine-learning models, reducing the monetary and environmental cost of developing AI applications.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
3D-printed revolving devices can sense how they are moving
A new system enables makers to incorporate sensors into gears and other rotational mechanisms with just one pass in a 3D printer.
Python-based compiler achieves orders-of-magnitude speedups
Codon compiles Python code to run more efficiently and effectively while allowing for customization and adaptation to various domains.
New method accelerates data retrieval in huge databases
Researchers used machine learning to build faster and more efficient hash functions, which are a key component of databases.
Creating a versatile vaccine to take on Covid-19 in its many guises
Aided by machine learning, scientists are working to develop a vaccine that would be effective against all SARS-CoV-2 strains.
Large language models are biased. Can logic help save them?
MIT researchers trained logic-aware language models to reduce harmful stereotypes like gender and racial biases.
Hari Balakrishnan awarded Marconi Prize
The prize is the top honor within the field of communications technology.
MIT-Takeda Program heads into fourth year with crop of 10 new projects
The program leverages MIT’s research expertise and Takeda’s industrial know-how for research in artificial intelligence and medicine.
Nine from MIT named 2023 Sloan Research Fellows
Annual award honors early-career researchers for creativity, innovation, and research accomplishments.
MIT community members elected to the National Academy of Engineering for 2023
Seven researchers, along with 14 additional MIT alumni, are honored for significant contributions to engineering research, practice, and education.
Helping companies deploy AI models more responsibly
MIT spinout Verta offers tools to help companies introduce, monitor, and manage machine-learning models safely and at scale.
Solving a machine-learning mystery
A new study shows how large language models like GPT-3 can learn a new task from just a few examples, without the need for any new training data.
Automating the math for decision-making under uncertainty
A new tool brings the benefits of AI programming to a much broader class of problems.
World Wide Web Consortium is now a public-interest nonprofit organization
Growing from a strong foundation built at MIT CSAIL and other academic hosts, W3C will continue its mission of developing standards for an open and equitable web.
Six with ties to MIT honored as 2022 ACM Fellows
Six distinguished scientists with ties to MIT were recognized for significant contributions to computing systems.